TL;DR
This study investigates how user tracking varies across different topical subpages of Indian news websites, revealing differential tracking patterns and topic-specific third-party tracking preferences, filling a gap in privacy research for the Indian market.
Contribution
It introduces a novel method for automatically categorizing Indian news subpages and compares tracking practices between homepages and subpages, highlighting topic-specific tracking behaviors.
Findings
Differential tracking observed across subpages and homepages.
Third-party trackers show preference for specific topics.
Embedded third-parties often track multiple subpages simultaneously.
Abstract
Online user privacy and tracking have been extensively studied in recent years, especially due to privacy and personal data-related legislations in the EU and the USA, such as the General Data Protection Regulation, ePrivacy Regulation, and California Consumer Privacy Act. Research has revealed novel tracking and personal identifiable information leakage methods that first- and third-parties employ on websites around the world, as well as the intensity of tracking performed on such websites. However, for the sake of scaling to cover a large portion of the Web, most past studies focused on homepages of websites, and did not look deeper into the tracking practices on their topical subpages. The majority of studies focused on the Global North markets such as the EU and the USA. Large markets such as India, which covers 20% of the world population and has no explicit privacy laws, have not…
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